ML Assistance#

This section contains documentation for skore features that enhance the ML development process.

Get assistance when developing ML/DS projects#

These functions and classes build upon scikit-learn’s functionality.

train_test_split(*arrays[, X, y, test_size, ...])

Perform train-test-split of data.

Single Estimator Report#

skore.EstimatorReport provides comprehensive reporting capabilities for individual scikit-learn estimators, including metrics, visualizations, and evaluation tools.

Cross-validation Report#

skore.CrossValidationReport provides comprehensive capabilities for evaluating scikit-learn estimators by cross-validation, and reporting the results.

Comparison Report#

skore.ComparisonReport provides comprehensive capabilities for comparing skore.EstimatorReport instances, and reporting the results.

Visualization Displays#

A set of displays are available through the different reports. Find in this section the API of each display.